videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9025
- Accuracy: 0.8429
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 72
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.3629 | 0.2639 | 19 | 2.1440 | 0.3 |
| 1.9215 | 1.2639 | 38 | 1.5365 | 0.5857 |
| 1.1734 | 2.2639 | 57 | 0.9817 | 0.8143 |
| 0.7653 | 3.2083 | 72 | 0.9025 | 0.8429 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for vfr800hu/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base